Iranian Journal of Fuzzy Systems، جلد ۱۷، شماره ۵، صفحات ۴۳-۵۲
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عنوان انگلیسی Solving fuzzy stochastic multi-objective programming problems based on a fuzzy inequality
چکیده انگلیسی مقاله Probabilistic or stochastic programming is a framework for modeling optimization problems that involve uncertainty.In this paper, we focus on multi-objective linear programmingproblems in which the coefficients of constraints and the righthand side vector are fuzzy random variables. There are several methodsin the literature that convert this problem to a stochastic orfuzzy problem. By using a special type of fuzzy inequality, wetransform the problem into a convenient stochastic problem. Thensome known methods are applied to obtain the optimal solution.Finally, the equivalent multi-objective problem is solved by aninteractive approach. A numerical example is provided to illustrate the procedure.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله S. S. Nabavi |
Lecturer, Semnan University, Semnan, Iran

M. Souzban |
Department of Applied Mathematics, School of Mathematics and Computer Science, University of Damghan, Damghan, Iran

M. R. Safi |
Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran

Z. Sarmast |
Faculty of Mathematics, Statistics and Computer Science, University of Houston, Houston, Texas, USA

نشانی اینترنتی http://ijfs.usb.ac.ir/article_5513_1c541c9b7e2a679047ad21e010e07942.pdf
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